Environmental Kuznets Curve: Non-Linear Panel Regression Analysis

dc.contributor.author Senturk, Huseyin
dc.contributor.author Omay, Tolga
dc.contributor.author Yildirim, Julide
dc.contributor.author Kose, Nezir
dc.contributor.other Economics
dc.contributor.other 05. School of Business
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-07-05T15:38:20Z
dc.date.available 2024-07-05T15:38:20Z
dc.date.issued 2020
dc.description Öcal, Jülide Yıldırım/0000-0002-4739-6028 en_US
dc.description.abstract This study presents an analysis of the relationship between per capita CO2 emissions as an environmental degradation indicator and per capita gross domestic product (GDP) as an economic growth indicator within the framework of the Environmental Kuznets Curve (EKC). For this purpose, non-linear panel models are estimated for the Annex I countries, non-Annex countries, and whole parties with respect to data availability of the United States Convention on Climate Change (UNFCCC) for the period 1960-2012. The empirical results of the panel smooth transition models (PSTR) show that the environmental deterioration rises in the first phase of growth for all data sets. Afterwards, the environmental degradation cannot be prevented, but the increase in the amount of environmental degradation decreases. The findings of this study give an insight regarding the differential environmental impact of economic growth between developed and developing countries. While the validity of a traditional EKC relation regarding the CO2 emissions cannot be affirmed for any group of countries in our sample, empirical results indicate the existence of multiple regimes where economic growth hampers environmental quality, but its severity decreases at each consecutive regime. en_US
dc.identifier.doi 10.1007/s10666-020-09702-0
dc.identifier.issn 1420-2026
dc.identifier.issn 1573-2967
dc.identifier.scopus 2-s2.0-85082850408
dc.identifier.uri https://doi.org/10.1007/s10666-020-09702-0
dc.identifier.uri https://hdl.handle.net/20.500.14411/3098
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Environmental Modeling & Assessment
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Environmental Kuznets curve en_US
dc.subject Panel data models en_US
dc.subject Non-linear panel data models en_US
dc.subject PSTR models en_US
dc.subject Cross-sectional dependency en_US
dc.title Environmental Kuznets Curve: Non-Linear Panel Regression Analysis en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Öcal, Jülide Yıldırım/0000-0002-4739-6028
gdc.author.institutional Omay, Tolga
gdc.author.scopusid 57216221195
gdc.author.scopusid 23978235900
gdc.author.scopusid 55959074600
gdc.author.scopusid 12788979800
gdc.author.wosid Köse, Nezir/AAB-6015-2021
gdc.author.wosid Öcal, Jülide Yıldırım/G-5706-2018
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Senturk, Huseyin] Turkish Stat Inst, Ankara, Turkey; [Omay, Tolga] Atilim Univ, Dept Econ, Ankara, Turkey; [Yildirim, Julide] TED Univ, Dept Econ, Ankara, Turkey; [Kose, Nezir] Istanbul Gelisim Univ, Dept Econ & Finance, Istanbul, Turkey en_US
gdc.description.endpage 651 en_US
gdc.description.issue 5 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 633 en_US
gdc.description.volume 25 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W3010643449
gdc.identifier.wos WOS:000520909300001
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gdc.oaire.impulse 11.0
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gdc.oaire.keywords Panel data models
gdc.oaire.keywords PSTR models
gdc.oaire.keywords Cross-sectional dependency
gdc.oaire.keywords Environmental Kuznets curve
gdc.oaire.keywords Non-linear panel data models
gdc.oaire.popularity 1.43071155E-8
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gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0502 economics and business
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gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 16
gdc.plumx.crossrefcites 14
gdc.plumx.mendeley 31
gdc.plumx.scopuscites 18
gdc.scopus.citedcount 18
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